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Campus Energy Management

📅May 30, 2020
Brief:Campus Energy Management1. IoT for Energy Facilities1.1. IoT Facilities1.2. IoT Metering and Control1.3. IoT Scenario-linked Control (General Model)1.4. Alarm Handling2. Energy Facility Management2.1. Or
Campus Energy ManagementCampus Energy SavingEnergy Big Data Management

Campus Energy Management, Campus Energy Saving, Energy Big Data Management,

Campus Energy Management

Campus Energy Management, Campus Energy Saving, Energy Big Data Management,

Campus Energy Management, Campus Energy Saving, Energy Big Data Management,

Campus Energy Management

Campus Energy Management, Campus Energy Saving, Energy Big Data Management,

Campus Energy Management, Campus Energy Saving, Energy Big Data Management,

Campus Energy Management, Campus Energy Saving, Energy Big Data Management,

Campus Energy Management, Campus Energy Saving, Energy Big Data Management,

Campus Energy Management

1. IoT for Energy Facilities

1.1. IoT Facilities

1.2. IoT Metering and Control

1.3. IoT Scenario-linked Control (General Model)

1.4. Alarm Handling

2. Energy Facility Management

2.1. Principle: Reduce labor and energy costs

2.2. Fixed Asset Management Basic Data

2.3. Facility Inspection

2.4. Facility Maintenance

3. Big Data Energy-saving Platform

3.1. Principle: Classified and itemized metering; energy consumption comparative analysis; data analysis and mining; equipment energy efficiency management; real-time data control; input-output analysis.

3.2. Information Collection Database:

3.3. Energy Consumption Analysis Standards: "Technical Guide for Sub-item Energy Consumption Data Collection of Energy Monitoring System for State Organ Office Buildings and Large Public Buildings", "Technical Guide for Construction of Energy-saving Supervision System for Campus Buildings of Colleges and Universities"

3.4. Energy Audit Data

3.5. Establishing Analysis Models

3.6. Setting Early Warning Models

3.7. Optimizing Control Results

3.8. Big Data Visualization Display

3.9. Energy Consumption Decomposition and Perspective, Analyzing Usage Habits, Deducting Energy-saving Space

3.10. Energy Reports: Energy consumption analysis; loophole detection; energy-saving measures; current energy usage status; renovation plans; energy-saving recommendations

3.11. Input-Output Economic Indicator Analysis

3.12. Energy Consumption Indicator KPI Assessment

4. Energy-saving Technology Display

4.1. Energy-saving Product Display

4.2. Energy-saving Technology Display

4.3. Energy-saving Management Display

5. Evaluation and Improvement of New Energy-saving Facilities

5.1. Solar Hot Water System

5.2. Solar Power Generation System

5.3. Greywater Treatment Facilities

5.4. Lighting Planning

5.5. Variable Frequency Retrofit of Central Air-conditioning Water Pumps

5.6. Waste Heat Recovery Heat Exchange System

5.7. Networking of Campus Free Environmental Protection and Energy-saving Facilities

5.8. Handling of Transformer Load Rate, Transformer Harmonic Conditions, Power Factor, Three-phase Unbalance, and Abnormal Nighttime Power Consumption

5.9. Peak-valley Energy Storage System

5.10. Through analysis and processing of various data, provide more advanced application scenarios, realize linkage management and control among subsystems, thereby achieving efficient and scientific centralized management, reducing operating costs, and improving management level

5.11. Energy Internet Technology: Since users have large demands for electricity, cooling, and heating, and after retrofitting, all possess means such as energy storage and load characteristic optimization. If at the campus level, the energy usage of each user can be aggregated through an energy management system

5.12. In winter, the high outdoor temperature at noon can be utilized to store heat in ponds around buildings

5.13. Geothermal Heat Pump Energy Storage Technology

6. Command & Dispatch

6.1. Call Center CRM System

6.2. Command Center Equipment

6.3. Emergency Command Process

7. Energy-saving and Environmental Protection Display System

7.1. Purpose: Energy saving and environmental protection should focus on publicity and education, with a sense of ceremony and influence

7.2. Website: Policy publicity, management measures, behavior advocacy, technical management, supervision and inspection

7.3. Command Center: Large screen (report presentation, daily monitoring and command, energy list)

7.4. Influence Publicity: Roadside multifunctional publicity screens, multifunctional interactive screens

7.5. Community Publicity: Cable TV broadcasting, WeChat official accounts, community APPs, etc.

8. IoT System Technical Architecture

8.1. IoT Communication Technology

8.2. IoT Security Technology

8.3. IoT Access Technology

8.4. IoT Big Data Database System

8.5. Big Data Governance Technology

8.6. Big Data Mining Technology

8.7. GIS Geographic Information System

8.8. APP Inspection Terminal

9. Project Implementation Recommendations

9.1. Energy-saving and environmental protection projects generally include survey, design, construction, implementation, and supervision stages

9.2. Survey: Survey of past years' energy consumption overview, survey of energy-saving infrastructure conditions, survey of superior energy-saving tasks, energy-saving instructions from unit leaders, survey of work energy consumption characteristics, etc.

9.3. Design: Improvement of energy-consuming facilities, organization of energy-saving metering and control systems, energy-saving operation management plans. Three-level metering for major energy-consuming equipment, key process sections, and resource and environmental factors. Through comprehensive monitoring, statistics, and summarization of the production process, provide reliable digital basis for safe production and fault analysis and traceability of key enterprise equipment; maximize energy utilization efficiency and economic benefits through engineering retrofitting

9.4. Construction: Adaptive connection between IoT gateways and energy-consuming facilities; connection between gateways and metering and control facilities; server facilities and energy big data system

9.5. Implementation: Multi-dimensional display of energy big data, energy-saving model development, energy-saving model optimization

9.6. Supervision: Indicator audit, process audit, result audit, execution supervision, event inspection

9.7. Energy Control Principle: Trunk line detection, branch line control